IEEE

Privacy-Preserving Federated Learning with Adaptive Model Aggregation for Efficient Vehicle-to-Vehicle (V2V) Communication in Intelligent Transportation Systems

Abstract: Intelligent Transportation Systems (ITS) demand robust privacy-preserving frameworks that maintain efficiency and adaptability in dynamic Vehicle-to-Vehicle (V2V) networks. Conventional ...
GitHub

FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated Learning

Abstract: Federated learning (FL) is a promising technology for data privacy and distributed optimization, but it suffers from data imbalance and heterogeneity among clients. Existing FL methods try ...
IEEE

BASHVS: A Multispectral and SAR Image Fusion Method Based on Bidirectional Aggregation of Saliency in Human Visual System

Abstract: The limitations of remote sensing sensor technology make it difficult to simultaneously capture earth observation information presented in different forms within a single remote sensing ...